An Improved BM3D Algorithm Based on Image Depth Feature Map and Structural Similarity Block-Matching [PDF]
Sensors, 2023 We propose an improved BM3D algorithm for block-matching based on UNet denoising network feature maps and structural similarity (SSIM). In response to the traditional BM3D algorithm that directly performs block-matching on a noisy image, without ...
Jia Cao +4 more
doaj +2 more sources
Despeckling of Ultrasound Images Using Block Matching and SVD in Sparse Representation [PDF]
Sensors, 2022 This work proposes a novel scheme for speckle suppression on medical images acquired by ultrasound sensors. The proposed method is based on the block matching procedure by using mutual information as a similarity measure in grouping patches in a ...
Rogelio Reyes-Reyes +5 more
doaj +2 more sources
De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method [PDF]
Diagnostics, 2022 The ultrasonic technique is an indispensable imaging modality for diagnosis of breast cancer in young women due to its ability in efficiently capturing the tissue properties, and decreasing nega-tive recognition rate thereby avoiding non-essential ...
Gelan Ayana +4 more
doaj +2 more sources
arXiv, 2020 19 pages, 15 figures, paper submitted in "CS413 - Computational Photography" at EPFL, for project repository see $\href{https://github.com/UlisesLuzius/ImageProcessingPipeline/}{\text{link}}$
Solar, Rafael Pizarro +1 more
openaire +3 more sources
Block matching frame based material reconstruction for spectral CT. [PDF]
Phys Med Biol, 2019 Spectral computed tomography (CT) has a great potential in material identification and decomposition. To achieve high-quality material composition images and further suppress the x-ray beam hardening artifacts, we first propose a one-step material ...
Wu W, Wang Q, Liu F, Zhu Y, Yu H.
europepmc +3 more sources
Three-Dimensional Block Matching Using Orthonormal Tree-Structured Haar Transform for Multichannel Images [PDF]
Journal of Imaging, 2020 Multichannel images, i.e., images of the same object or scene taken in different spectral bands or with different imaging modalities/settings, are common in many applications.
Izumi Ito, Aleksandra Pižurica
doaj +2 more sources
Matching Pursuit With Block Incoherent Dictionaries [PDF]
IEEE Transactions on Signal Processing, 2007 Recently, there has been an intense activity in the field of sparse approximations with redundant dictionaries, largely motivated by the practical performances of algorithms such as matching pursuit (MP) and basis pursuit (BP). However, most of the theoretical results obtained so far are valid only for the restricted class of incoherent dictionaries ...
Peotta, L., Vandergheynst, P.
openaire +4 more sources
Integral Images for Block Matching [PDF]
Image Processing On Line, 2014 The integral image representation is a remarkable idea that permits to evaluate the sum of image values over rectangular regions of the image with four operations, regardless of the size of the region.
G. Facciolo +2 more
semanticscholar +2 more sources
Global image registration using a symmetric block-matching approach. [PDF]
J Med Imaging (Bellingham), 2014 . Most medical image registration algorithms suffer from a directionality bias that has been shown to largely impact subsequent analyses. Several approaches have been proposed in the literature to address this bias in the context of nonlinear ...
Modat M +5 more
europepmc +2 more sources
Sharp Sufficient Conditions for Stable Recovery of Block Sparse Signals by Block Orthogonal Matching Pursuit [PDF]
arXiv, 2016 In this paper, we use the block orthogonal matching pursuit (BOMP) algorithm to recover block sparse signals $\x$ from measurements $\y=\A\x+\v$, where $\v$ is an $\ell_2$-bounded noise vector (i.e., $\|\v\|_2\leq \epsilon$ for some constant $\epsilon$).
Jinming Wen +4 more
semanticscholar +2 more sources